Security Engineer @ RunPod | Jobright.ai
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RunPod · 19 hours ago

Security Engineer

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Artificial Intelligence (AI)Cloud Infrastructure

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Responsibilities

Design and implement secure architectures for RunPod's multitenant GPU cloud platform, ensuring strong isolation between customer workloads
Conduct thorough security assessments, including threat modeling, code reviews, and penetration testing of our cloud infrastructure and services
Develop and implement security fixes and improvements in collaboration with software engineering teams
Implement and manage security tools and systems (e.g., SIEM, WAF, EDR)
Create and maintain security documentation, including policies, procedures, and technical guidelines specific to GPU cloud security
Provide security guidance and training to development teams to foster a security-first culture in cloud development
Participate in incident response activities and contribute to post-incident analysis and improvements
Collaborate with operations team to ensure adherence to relevant standards (e.g., SOC 2, ISO 27001, GDPR)

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Cloud SecurityLinuxContainerizationPythonGoCGPU ArchitectureNetwork SecurityApplication SecuritySecurity Testing ToolsNIST FrameworkCIS ControlsCISSPCCSPOSCPDevSecOpsDockerKubernetesGPU Programming

Required

Bachelor's degree in Computer Science, Cybersecurity, or a related field
5+ years of experience in information security roles, with a focus on cloud security
Strong programming skills in at least one language (ideally, Python, Go, or C)
Extensive knowledge of Linux kernel internals, containerization technologies, and virtualization
Deep understanding of workload/network isolation techniques in multitenant cloud environments
Experience securing and hardening cloud infrastructure, particularly in environments with untrusted workloads
Familiarity with GPU architecture and security considerations in GPU cloud computing
Strong background in network security, application security, and cloud-native security practices
Experience with security testing tools and methodologies (e.g., OWASP, Burp Suite, static/dynamic analysis tools)
Familiarity with common cybersecurity frameworks (e.g., NIST, CIS Controls) and their application to cloud environments
Excellent problem-solving skills and ability to think creatively about security challenges in cloud computing
Successful completion of a background check

Preferred

Relevant security certifications (e.g., CISSP, CCSP, OSCP)
Experience with DevSecOps practices and tools in cloud environments
Deep knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes) and their security implications
Familiarity with regulatory compliance requirements for operating cloud services
Contributions to open-source security projects or security research publications related to cloud or GPU computing
Experience with GPU programming and understanding of GPU-specific security concerns

Benefits

Stock options
The flexibility of remote work with an inclusive, collaborative team.
An opportunity to grow with a company that values innovation and user-centric design.
Generous vacation policy to ensure work-life harmony and well-being.

Company

RunPod

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RunPod is a cloud platform designed for GPUs, enabling developers to deploy customized full-stack AI applications.

Funding

Current Stage
Growth Stage
Total Funding
$22M
2024-05-08Seed· $20M
2023-03-30Pre Seed· $2M

Leadership Team

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Zhen Lu
Co-Founder and CEO
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Pardeep Singh
CTO and Co-Founder
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Company data provided by crunchbase
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